Imagen de Portada

Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kominis, I. K., Xie, C., Li, S., Skotiniotis, M., Tsironis, G. P.
Formato:	Preprint
Publicado:	2026
Materias:	Quantum Physics Machine Learning Biological Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Physiological search for quantum biological effects based on the Wigner-Yanase connection between coherence and uncertainty
por: Kominis, I. K.
Publicado: (2023)

Approaching the quantum limit of energy resolution in animal magnetoreception
por: Kominis, I. K., et al.
Publicado: (2024)

Metabolic quantum limit to the information capacity of magnetoencephalography
por: Gkoudinakis, E., et al.
Publicado: (2025)

Quantum thermodynamic derivation of the energy resolution limit in magnetometry
por: Kominis, I. K.
Publicado: (2024)

Neural Architecture Search Algorithms for Quantum Autoencoders
por: Kulshrestha, Ankit, et al.
Publicado: (2025)

Entanglement Detection with Quantum-inspired Kernels and SVMs
por: Martínez-Sabiote, Ana, et al.
Publicado: (2025)

Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing
por: Kailasanathan, Rajiv, et al.
Publicado: (2025)

Quantum Architecture Search with Unsupervised Representation Learning
por: Sun, Yize, et al.
Publicado: (2024)

Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
por: Eren, Saadet Müzehher
Publicado: (2026)

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data
por: Qiu, Yunrui, et al.
Publicado: (2025)

Quantum Patch-Based Autoencoder for Anomaly Segmentation
por: Madeira, Maria Francisca, et al.
Publicado: (2024)

Hybrid quantum cycle generative adversarial network for small molecule generation
por: Anoshin, Matvei, et al.
Publicado: (2023)

Neural Architecture Search for Quantum Autoencoders
por: Agha, Hibah, et al.
Publicado: (2025)

Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
por: Andrews, Emma, et al.
Publicado: (2026)

Non-native Quantum Generative Optimization with Adversarial Autoencoders
por: Wilson, Blake A., et al.
Publicado: (2024)

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
por: Jahin, Afrar, et al.
Publicado: (2025)

Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
por: Chandrasekhar, Swathi, et al.
Publicado: (2025)

LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
por: Vieloszynski, Alexis, et al.
Publicado: (2024)

Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
por: Raj, Naipunnya, et al.
Publicado: (2025)

On Quantum Perceptron Learning via Quantum Search
por: Sun, Xiaoyu, et al.
Publicado: (2025)

Predictive Free Energy Simulations Through Hierarchical Distillation of Quantum Hamiltonians
por: Li, Chenghan, et al.
Publicado: (2025)

Quantum Masked Autoencoders for Vision Learning
por: Andrews, Emma, et al.
Publicado: (2025)

Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights
por: Batuwatta-Gamage, C. P., et al.
Publicado: (2025)

Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States
por: Tran, Quoc Hoan, et al.
Publicado: (2026)

Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification
por: Komini, Ralntion, et al.
Publicado: (2026)

Quantum-inspired super-resolution of fluorescent point-like sources
por: Mitchell, Cheyenne S., et al.
Publicado: (2024)

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
por: Miroszewski, Artur, et al.
Publicado: (2024)

Hybrid Quantum-Classical Neural Architecture Search
por: Marchisio, Alberto, et al.
Publicado: (2026)

Quantum Coherence Dispersion
por: Parisio, Fernando
Publicado: (2025)

AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation
por: Mei, D. -M., et al.
Publicado: (2026)

Protein Design by Integrating Machine Learning with Quantum Annealing and Quantum-inspired Optimization
por: Panizza, Veronica, et al.
Publicado: (2024)

Explainable Representation Learning of Small Quantum States
por: Frohnert, Felix, et al.
Publicado: (2023)

Quantum Autoencoder for Multivariate Time Series Anomaly Detection
por: Tscharke, Kilian, et al.
Publicado: (2025)

Qubit-Wise Architecture Search Method for Variational Quantum Circuits
por: Chen, Jialin, et al.
Publicado: (2024)

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
por: Chaudhary, Devashish, et al.
Publicado: (2026)

Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
por: Rasyidi, Mohammad Arif, et al.
Publicado: (2025)

Quantum Information Flow in Microtubule Tryptophan Networks
por: Gassab, Lea, et al.
Publicado: (2026)

Efficient Mutation Testing of Quantum Machine Learning Models
por: Andrews, Emma, et al.
Publicado: (2026)

One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation
por: Bordieri, Giulio, et al.
Publicado: (2026)

Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
por: Kang, Pilsung
Publicado: (2025)